Model-based patterns in prostate cancer mortality worldwide.
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ABSTRACT:
SUBMITTER: Fontes F
PROVIDER: S-EPMC3681014 | biostudies-other | 2013 Jun
REPOSITORIES: biostudies-other
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Project description:Background and aimsBiliary tract cancer (BTC) consists of a group of hepatic and perihepatic tumors that are in close proximity but are anatomically different, including gallbladder cancer (GBC), cholangiocarcinoma (extrahepatic and intrahepatic [ICC]), and ampulla of Vater cancer (AVC). Most epidemiologic research has focused on 1 or more anatomic subtypes, or does not differentiate BTC from hepatocellular carcinoma or other primary liver cancers. Here, we provide a descriptive update on global incidence and mortality rates for BTC, overall and by anatomic subtypes.MethodsAge-standardized rates (per 100,000 person-years) were derived from the International Agency for Research on Cancer, Cancer Incidence in Five Continents, Volume XI (2008-2012; 22 countries), and the World Health Organization Mortality Database (2006-2016; 38 countries).ResultsBTC incidence varied by country, with the highest in Chile (14.35) and the lowest in Vietnam (1.25). Mortality rates for BTC were highest for the Republic of Korea (11.64) and lowest for the Republic of Moldova (1.65). BTC mortality rates increased over time in 24 of 34 countries. Patients aged ≥75 years had 5-10 times higher mortality rates than the overall BTC rate in all countries. In most countries, incidence rates were highest for GBC, and mortality rates highest for ICC, while both were lowest for AVC. Females had and died from GBC more frequently than males. For ICC, extrahepatic cholangiocarcinoma, and AVC, males trended toward higher incidence and mortality rates.ConclusionThe increasing incidence and mortality trends reported here indicate a need for improved prevention and treatment for all BTC subtypes.
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Project description:Men diagnosed with nonmetastatic prostate cancer have a long life expectancy, and many die of unrelated causes. It is therefore important to know to what extent post-diagnostic diet may affect disease-specific and overall mortality. A total of 926 men participating in the Physicians' Health Study diagnosed with nonmetastatic prostate cancer completed diet questionnaires for a median of 5.1 years after diagnosis, and were followed thereafter to assess mortality for a median of 9.9 years since questionnaire completion. Two post-diagnostic dietary patterns were identified: a Prudent pattern, characterized by higher intake of vegetables, fruits, fish, legumes, and whole grains; and a Western pattern, characterized by higher intake of processed and red meats, high-fat dairy and refined grains. Cox regression was used to estimate multivariable-adjusted hazard ratios (HR) and 95% confidence intervals (CI). During 8,093 person-years of follow-up, 333 men died, 56 (17%) of prostate cancer. The Western pattern was significantly related to a higher risk of prostate cancer-specific and all-cause mortality. Comparing men in the highest versus the lowest quartile of the Western pattern, the HRs were 2.53 (95% CI, 1.00-6.42; Ptrend = 0.02) for prostate cancer-specific mortality and 1.67 (95% CI, 1.16-2.42; Ptrend = 0.01) for all-cause mortality. The Prudent pattern was associated with a significantly lower all-cause mortality (HRQuartile 4 vs. Quartile 1: 0.64; 95% CI, 0.44-0.93; Ptrend = 0.02); the relationship with prostate cancer-specific mortality was inverse but not statistically significant. A post-diagnostic Western dietary pattern was associated with higher prostate cancer-specific and all-cause mortality, whereas a Prudent dietary pattern was related to lower all-cause mortality after prostate cancer diagnosis.
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Project description:Prostate cancer (PCa) incidence and mortality vary across territories and populations. This can be explained by the genetic factor of this disease. This article aims to correlate the epidemiological data, worldwide incidence, and mortality of PCa with single-nucleotide polymorphisms (SNPs) associated with the susceptibility and severity of this neoplasm in different populations. Eighty-four genetic variants associated with prostate cancer susceptibility were selected from the literature through genome association studies (GWAS). Allele frequencies were obtained from the 1000 Genomes Project, and epidemiological data were obtained from Surveillance, Epidemiology, and End Results (SEER). The PCa incidence, mortality rates, and allele frequencies of variants were evaluated by Pearson's correlation. Our study demonstrated that 12 SNPs (rs2961144, rs1048169, rs7000448, rs4430796, rs2066827, rs12500426, rs6983267, rs11649743, rs2075110, rs114798100, rs855723, and rs2075109) were correlated with epidemiological data in different ethnic groups. Ten SNPs (rs2961144, rs1048169, rs7000448, rs4430796, rs2066827, rs12500426, rs11649743, rs2075110, rs114798100, and rs2075109) were positively correlated with the mortality rate. Seven SNPs (rs1048169, rs2961144, rs7000448, rs4430796, rs2066827, rs12500426, and rs114798100) were positively correlated with incidence. Positive correlations of incidence and mortality rates were more frequent in the African population. The genetic variants investigated here are likely to predispose to PCa and could play a role in its progression and aggressiveness. This genetic study demonstrated here is promising for implementing personalized strategies to screen for prostate cancer in diverse populations.
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Project description:The aim of this study is to evaluate all-cause mortality risk differences before and during prostate cancer screening, with a profound focus on the differences between screened and not-screened patient groups. Prostate cancer cases diagnosed between 1998 and 2016 were identified from the population-based Lithuanian Cancer Registry and linked with screening status in the National Health Insurance Fund database. The analysis was stratified by a period of diagnosis and screening status. Standardized mortality ratios (SMRs) were used to assess all-cause and cause-specific mortality risk. The SMRs were calculated by dividing the observed number of deaths among prostate cancer patients by the expected number of deaths from the general population. All-cause SMR (1.45 (95% CI 1.42-1.48)) in the pre-screening period was higher compared to the screening period (SMR = 1.17 (95% CI 1.15-1.19)). An increased all-cause mortality risk among prostate cancer patients was observed in the not-screened patient population (SMR = 1.76 (95% CI 1.71-1.82)), while all-cause mortality risk in the screened patient population was similar to the general population (SMR = 1.00 (95% CI 0.97-1.02)). Screened patients with localized stage of disease had lower all-cause mortality risk than the general population (SMR = 0.72 (95% CI 0.70-0.75)). In conclusion, men with prostate cancer in Lithuania had excess all-cause mortality risk compared to the general population. The all-cause mortality risk among screened patients was not higher than expected.
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Project description:BackgroundGleason grading of prostate cancer is an important prognostic factor, but suffers from poor reproducibility, particularly among non-subspecialist pathologists. Although artificial intelligence (A.I.) tools have demonstrated Gleason grading on-par with expert pathologists, it remains an open question whether and to what extent A.I. grading translates to better prognostication.MethodsIn this study, we developed a system to predict prostate cancer-specific mortality via A.I.-based Gleason grading and subsequently evaluated its ability to risk-stratify patients on an independent retrospective cohort of 2807 prostatectomy cases from a single European center with 5-25 years of follow-up (median: 13, interquartile range 9-17).ResultsHere, we show that the A.I.'s risk scores produced a C-index of 0.84 (95% CI 0.80-0.87) for prostate cancer-specific mortality. Upon discretizing these risk scores into risk groups analogous to pathologist Grade Groups (GG), the A.I. has a C-index of 0.82 (95% CI 0.78-0.85). On the subset of cases with a GG provided in the original pathology report (n = 1517), the A.I.'s C-indices are 0.87 and 0.85 for continuous and discrete grading, respectively, compared to 0.79 (95% CI 0.71-0.86) for GG obtained from the reports. These represent improvements of 0.08 (95% CI 0.01-0.15) and 0.07 (95% CI 0.00-0.14), respectively.ConclusionsOur results suggest that A.I.-based Gleason grading can lead to effective risk stratification, and warrants further evaluation for improving disease management.
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Project description:ObjectiveProstate cancer (PCa) patients might experience lower urinary tract symptoms as those diagnosed with benign prostatic hyperplasia (BPH). Some of them might be treated for their lower urinary tract symptoms instead of PCa. We aimed to test the effect of PCa versus BPH on surgical outcomes after transurethral prostate surgery, namely complication and mortality rates.MethodsWithin the American College of Surgeons National Surgical Quality Improvement Program database (2011-2016), we identified patients who underwent transurethral resection of the prostate, photoselective vaporization, or laser enucleation. Patients were stratified according to postoperative diagnosis (PCa vs. BPH). Univariable and multivariable logistic regression models evaluated the predictors of perioperative morbidity and mortality. A formal test of interaction between diagnosis and surgical technique used was performed.ResultsOverall, 34 542 patients were included. Of all, 2008 (5.8%) had a diagnosis of PCa. The multivariable logistic regression model failed to show statistically significant higher rates of postoperative complications in PCa patients (odds ratio: 0.9, 95% confidence interval: 0.7-1.1; p=0.252). Moreover, similar rates of perioperative mortality (p=0.255), major acute cardiovascular events (p=0.581), transfusions (p=0.933), and length of stay of more than or equal to 30 days (p=0.174) were found. Additionally, all tests failed to show an interaction between post-operative diagnosis and surgical technique used.ConclusionPatients diagnosed with PCa do not experience higher perioperative morbidity or mortality after transurethral prostate surgery when compared to their BPH counterparts. Moreover, the diagnosis seems to not influence surgical technique outcomes.
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